The project goal is developing Natural Language Processing (NLP)-based solutions for analyzing the content of public comments on government policy-making initiatives, thereby supporting broader and deeper dialogue between government and citizens.

Specifically, we seek to automatically extract “situated knowledge” from public comment and to develop tools for exploring various aspects of that knowledge. We are now focusing on developing a conceptual framework to account for such knowledge.

Project Members

This is a joint Cornell-Technion research as part of the Cornell-Tech NYC campus initiative.
It involves: